RESEARCH METHODOLOGY

Detailed explanation-1: -Standard error and standard deviation are both measures of variability. The standard deviation reflects variability within a sample, while the standard error estimates the variability across samples of a population.

Detailed explanation-2: -The standard deviation is the average amount of variability in your dataset. It tells you, on average, how far each score lies from the mean. The larger the standard deviation, the more variable the data set is.

Detailed explanation-3: -Statisticians use summary measures to describe the amount of variability or spread in a set of data. The most common measures of variability are the range, the interquartile range (IQR), variance, and standard deviation.

Detailed explanation-4: -The standard deviation is the most commonly used and the most important measure of variability.